Monitoring

from apify_client import ApifyClient

# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "dashboardStatisticsFrequency": "Every day at noon",
    "validationCheckOptions": """/* global ow */
// The `ow` variable represents the ow validation variable. More at https://sindresorhus.com/ow/index.html
 [
    {
        filter: \"us\", // matches all targets with \"us\" pattern
        minItemCount: 5000,
        schema: {
            url: ow.string.url,
            description: ow.string,
        },
    },
    {
        Ids: [\"A1b2C3d4\", \"B1A2d45\"], // matches 2 targets with specific IDs
        schema: {
            itemId: ow.number,
            region: ow.string,
        },
    },
]""",
    "validationCheckFrequency": "Per run",
    "duplicationCheckFrequency": "Per run",
}

# Run the Actor and wait for it to finish
run = client.actor("apify/monitoring").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)